chore: remove lc-serve
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Deepankar Mahapatro
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README.md
111
README.md
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@ -36,8 +36,6 @@
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- [Environment Variables](#environment-variables)
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- [Deployment](#deployment)
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- [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
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- [Deploy Langflow on Jina AI Cloud](#deploy-langflow-on-jina-ai-cloud)
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- [API Usage](#api-usage)
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- [Deploy on Railway](#deploy-on-railway)
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- [Deploy on Render](#deploy-on-render)
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- [🎨 Creating Flows](#-creating-flows)
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@ -110,7 +108,6 @@ Each option is detailed below:
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- `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.
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- `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`.
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- `--cache`: Selects the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`.
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- `--jcloud/--no-jcloud`: Toggles the option to deploy on Jina AI Cloud. The default is `no-jcloud`.
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- `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`.
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- `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable.
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- `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`.
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@ -134,114 +131,6 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
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[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
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## Deploy Langflow on [Jina AI Cloud](https://github.com/jina-ai/langchain-serve)
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Langflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.
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Start by installing `langchain-serve` with
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```bash
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pip install langflow[deploy]
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# or
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pip install -U langchain-serve
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```
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Then, run:
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```bash
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langflow --jcloud
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```
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```text
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🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
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🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
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📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
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```
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<details>
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<summary>Show complete (example) output</summary>
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```text
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🚀 Deploying Langflow server on Jina AI Cloud
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╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
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│ │
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│ ID langflow-e3dd8820ec │
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│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
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│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
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│ │
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╰──────────────────────────────────────────────────────────────────────────╯
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╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
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│ App ID │ langflow-e3dd8820ec │
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├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
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│ Phase │ Serving │
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├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
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│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
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├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
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│ App logs │ dashboards.wolf.jina.ai │
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├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
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│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
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├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
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│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
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╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
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🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
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🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
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📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
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```
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</details>
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#### API Usage
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You can use Langflow directly on your browser, or use the API endpoints on Jina AI Cloud to interact with the server.
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<details>
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<summary>Show API usage (with python)</summary>
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```python
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import requests
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BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
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FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
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# You can tweak the flow by adding a tweaks dictionary
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# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
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TWEAKS = {
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"ChatOpenAI-g4jEr": {},
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"ConversationChain-UidfJ": {}
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}
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def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
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"""
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Run a flow with a given message and optional tweaks.
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:param message: The message to send to the flow
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:param flow_id: The ID of the flow to run
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:param tweaks: Optional tweaks to customize the flow
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:return: The JSON response from the flow
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"""
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api_url = f"{BASE_API_URL}/{flow_id}"
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payload = {"message": message}
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if tweaks:
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payload["tweaks"] = tweaks
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response = requests.post(api_url, json=payload)
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return response.json()
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# Setup any tweaks you want to apply to the flow
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print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
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```
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```json
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{
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"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
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}
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```
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</details>
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> Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
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## Deploy on Railway
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